Results 71 to 80 of about 45,826 (205)

Predicting hourly heating load in residential buildings using a hybrid SSA–CNN–SVM approach

Case Studies in Thermal Engineering
This study proposes a hybrid prediction model using sparrow search algorithm (SSA) to optimize the convolutional neural network (CNN) and support vector machine (SVM), in order to perform accurate prediction of secondary supply temperature (Ts2).
Wenhan An, Bo Gao, Jianhua Liu, Ji Ni, Jiying Liu   +4 more
doaj   +1 more source

LSTM-Based Battery Remaining Useful Life Prediction With Multi-Channel Charging Profiles

IEEE Access, 2020
Remaining useful life (RUL) prediction of lithium-ion batteries can reduce the risk of battery failure by predicting the end of life. In this paper, we propose novel RUL prediction techniques based on long short-term memory (LSTM).
Kyungnam Park, Yohwan Choi, Wonil Choi, H. Ryu, Hongseok Kim   +4 more
semanticscholar   +1 more source

Can the velocity profile in the bench press and the bench pull sufficiently estimate the one repetition maximum in youth elite cross-country ski and biathlon athletes?

BMC Sports Science, Medicine and Rehabilitation
Introduction In recent years, load-velocity profiles (LVP) have been frequently proposed as a highly reliable and valid alternative to the one-repetition maximum (1RM) for estimating maximal strength and prescribing training loads.
Carl-Maximilian Wagner, Michael Keiner, Sebastian Puschkasch-Möck, Klaus Wirth, Stephan Schiemann, Konstantin Warneke   +5 more
doaj   +1 more source

Penerapan Metode Fuzzy Time Series Berbasis Algoritma Novel Dalam Memprediksi Indeks Harga Konsumen Di Provinsi Lampung

Titian Ilmu: Jurnal Ilmiah Multi Sciences
Indeks Harga Konsumen (IHK) menjadi indikator ekonomi yang digunakan sebagai standar untuk mengukur nilai dari rata-rata perubahan harga barang dan jasa yaitu berupa inflasi dan deflasi di tingkat konsumen.
Ahmad Muhaimin, Reni Permata Sari, Ma’rufah Hayati   +2 more
doaj   +1 more source

Hybrid deep learning CNN-LSTM model for forecasting direct normal irradiance: a study on solar potential in Ghardaia, Algeria

Scientific Reports
This paper provides an in-depth analysis and performance evaluation of four Solar Radiance (SR) prediction models. The prediction is ensured for a period ranging from a few hours to several days of the year.
Boumediene Ladjal, M. Nadour, M. Bechouat, Nadji Hadroug, Moussa Sedraoui, A. Rabehi, M. Guermoui, T. Agajie   +7 more
semanticscholar   +1 more source

Machine Learning-Based Lithium Battery State of Health Prediction Research

Applied Sciences
To address the problem of predicting the state of health (SOH) of lithium-ion batteries, this study develops three models optimized using the particle swarm optimization (PSO) algorithm, including the long short-term memory (LSTM) network, convolutional ...
Kun Li, Xinling Chen
semanticscholar   +1 more source

A Shrinked Forecast in Stationary Processes Favouring Percentage Error [PDF]

In stationary time-series forecasting, the commonly used criterion for selecting a proper forecast is the mean square error (MSE), which is minimized by the conditional expectation of future observation given the entire past known as a minimum MSE ...
Heungsun Park, Key-Il Shin
core   +1 more source

Demand Forecasting Model To Reduce The Mean Absolute Percentage Error By Applying Seasonal Breakdown Tools In A Sme In The Tourism Sector [PDF]

The research work is based on the analysis of demand in a tourism company using mathematical models. The methodology design presents a correlational and descriptive scope where the company's sales are collected to calculate the mean absolute percentage ...
Ludeña Roman, Sayuri Arleth Renatta, Corzo Chávez, Jorge Antonio, Zelada Collazos, Sebastian   +2 more
core   +3 more sources

Performance of Holt-Winters exponential smoothing method in forecasting Indonesian inflation levels

Majalah Ilmiah Matematika dan Statistika
Forecasting inflation data is an important part of economic decision making. Periodic updates are needed considering changes in external factors that affect the inflation rate.
Agista Marshanda, Harmi Sugiarti
doaj   +1 more source

Another Look at Measures of Forecast Accuracy [PDF]

We discuss and compare measures of accuracy of univariate time series forecasts. The methods used in the M-competition and the M3-competition, and many of the measures recommended by previous authors on this topic, are found to be inadequate, and many of
Anne B. Koehler, Rob J. Hyndman
core